Rasa chatbot：检索对话数据

Question

I am trying to build a chatbot using RASA. For now, I am running my chatbot locally on a Ubuntu shell. I'd like to be able to retrieve my conversation data ; from RASA's documentation, it seems to be possible, but the documentation only addresses the case when the bot is running on a http server : link

Answer 1

You can add a Mongo or Redis tracker store which stores all the conversations data in a database. Do so by adding a section like this to your endpoint configuration:

tracker_store:
    store_type: mongod
    url: <url to your mongo instance, e.g. mongodb://localhost:27017>
    db: <name of the db within your mongo instance, e.g. rasa>
    username: <username used for authentication>
    password: <password used for authentication>

Then specify this file with --endpoints when you run Rasa Core, eg

python -m rasa_core.run -d models --endpoints endpoints.yml

The alternative would be to run Rasa Core with the exposed Rest API, eg

python -m rasa_core.run -d models --enable-api

Then you can access the conversations with HTTP requests as documented here , eg:

curl --request GET \
  --url http://localhost:5005/conversations/<sender_id>/tracker